class_docstr: The 'vgg7' waifu2x network.
  Lower quality and slower than even upconv7 (nevermind cunet), but is very easy to implement and test.
class_docstr_tok: ["The","'vgg7","'","waifu2x","network",".","Lower","quality","and","slower","than","even","upconv7","(","nevermind","cunet",")",",","but","is","very","easy","to","implement","and","test","."]
docstr: Downloads a nagadomi/waifu2x JSON weight file and loads it.
docstr_tok: ["Downloads","a","nagadomi\/waifu2x","JSON","weight","file","and","loads","it","."]
code: def load_from_pretrained(self, intent="art", subtype="scale2.0x"):
      """
      Downloads a nagadomi/waifu2x JSON weight file and loads it.
      """
      import json
  
      data = json.loads(
          fetch(
              "https://github.com/nagadomi/waifu2x/raw/master/models/vgg_7/"
              + intent
              + "/"
              + subtype
              + "_model.json"
          ).read_bytes()
      )
      self.load_waifu2x_json(data)
  
file_path: tinygrad/examples/vgg7_helpers/waifu2x.py
imports: import numpy
  from tinygrad.tensor import Tensor
  from PIL import Image
  from tinygrad.helpers import fetch
label_desc: Use image node_id 4 for calling the Vgg7 obj's underlying member method code with example usage: obj.load_from_pretrained(intent, subtype) without return types